Question:
| C1-T |
INTERNET |
GDP |
CO2 |
CELLULAR |
FERTILITY |
LITERACY |
| Algeria |
0.65 |
6.09 |
3 |
0.3 |
2.8 |
58.3 |
| Argentina |
10.08 |
11.32 |
3.8 |
19.3 |
2.4 |
96.9 |
| Australia |
37.14 |
25.37 |
18.2 |
57.4 |
1.7 |
100 |
| Austria |
38.7 |
26.73 |
7.6 |
81.7 |
1.3 |
100 |
| Belgium |
31.04 |
25.52 |
10.2 |
74.7 |
1.7 |
100 |
| Brazil |
4.66 |
7.36 |
1.8 |
16.7 |
2.2 |
87.2 |
| Canada |
46.66 |
27.13 |
14.4 |
36.2 |
1.5 |
100 |
| Chile |
20.14 |
9.19 |
4.2 |
34.2 |
2.4 |
95.7 |
| China |
2.57 |
4.02 |
2.3 |
11 |
1.8 |
78.7 |
| Denmark |
42.95 |
29 |
9.3 |
74 |
1.8 |
100 |
| Egypt |
0.93 |
3.52 |
2 |
4.3 |
3.3 |
44.8 |
| Finland |
43.03 |
24.43 |
11.3 |
80.4 |
1.7 |
100 |
| France |
26.38 |
23.99 |
6.1 |
60.5 |
1.9 |
100 |
| Germany |
37.36 |
25.35 |
9.7 |
68.2 |
1.4 |
100 |
| Greece |
13.21 |
17.44 |
8.2 |
75.1 |
1.3 |
96.1 |
| India |
0.68 |
2.84 |
1.1 |
0.6 |
3 |
46.4 |
| Iran |
1.56 |
6 |
4.8 |
3.2 |
2.3 |
70.2 |
| Ireland |
23.31 |
32.41 |
10.8 |
77.4 |
1.9 |
100 |
| Israel |
27.66 |
19.79 |
10 |
90.7 |
2.7 |
93.1 |
| Japan |
38.42 |
25.13 |
9.1 |
58.8 |
1.3 |
100 |
| Malaysia |
27.31 |
8.75 |
5.4 |
31.4 |
2.9 |
84 |
| Mexico |
3.62 |
8.43 |
3.9 |
21.7 |
2.5 |
89.5 |
| Netherlands |
49.05 |
27.19 |
8.5 |
76.7 |
1.7 |
100 |
| New Zealand |
46.12 |
19.16 |
8.1 |
59.9 |
2 |
100 |
| Nigeria |
0.1 |
0.85 |
0.3 |
0.3 |
5.4 |
57.7 |
| Norway |
46.38 |
29.62 |
8.7 |
81.5 |
1.8 |
100 |
| Pakistan |
0.34 |
1.89 |
0.7 |
0.6 |
5.1 |
28.8 |
| Philippines |
2.56 |
3.84 |
1 |
15 |
3.2 |
95 |
| Russia |
2.93 |
7.1 |
9.8 |
5.3 |
1.1 |
99.4 |
| Saudi Arabia |
1.34 |
13.33 |
11.7 |
11.3 |
4.5 |
68.2 |
| South Africa |
6.49 |
11.29 |
7.9 |
24.2 |
2.6 |
85 |
| Spain |
18.27 |
20.15 |
6.8 |
73.4 |
1.2 |
96.9 |
| Sweden |
51.63 |
24.18 |
5.3 |
79 |
1.6 |
100 |
| Switzerland |
30.7 |
28.1 |
5.7 |
72.8 |
1.4 |
100 |
| Turkey |
6.04 |
5.89 |
3.1 |
29.5 |
2.4 |
77.2 |
| United Kingdom |
32.96 |
24.16 |
9.2 |
77 |
1.6 |
100 |
| United States |
50.15 |
34.32 |
19.7 |
45.1 |
2.1 |
100 |
| Vietnam |
1.24 |
2.07 |
0.6 |
1.5 |
2.3 |
90.9 |
| Yemen |
0.09 |
0.79 |
1.1 |
0.8 |
7 |
26.9 |
You are given data about the per capita personal income and infant mortality rate for a number of Tennessee Counties during 2010.
a. Generate a scatterplot of the two variables. What might this relationship imply?
b. Compute the Pearson's correlation coefficient between the two variables.
c. Provide an interpretation of the correlation obtained. Refer to both the strength and direction of the correlation in your interpretation.
d. Also interpret the correlation in terms of r-squared (coefficient of determination). Be careful not to infer cause and effect.